Core concepts
Knowledge graph
Google's database of entities and the relationships between them, used to understand queries, populate knowledge panels, and ground answers.
By Shimon Carroll, Founder, SEO for AI Agents · Last updated
The Knowledge Graph is Google's structured database of entities, people, places, organizations, things, and the relationships among them. Introduced in 2012, it lets Google answer questions about things directly and power features like the knowledge panel. It is built from many sources, including Wikipedia, Wikidata, licensed data, and what Google extracts and corroborates from the open web.
For a brand, being represented in the Knowledge Graph is a form of recognition that compounds across surfaces. A recognized entity gets a knowledge panel for its brand query, is more likely to be understood correctly in ambiguous contexts, and is a safer thing for AI engines to cite, because the engine can connect the claim to a known node with corroborated attributes. An unrecognized brand has to fight for that understanding on every query.
You influence the Knowledge Graph indirectly, by being the kind of entity it draws from: a Wikipedia or Wikidata entry, consistent structured data with sameAs links, presence and consistent facts across authoritative sources, and a clear, corroborated identity. You cannot edit the Knowledge Graph directly (beyond suggesting changes to a verified panel), so the work is upstream, feed it accurate, corroborated entity data and it forms the node. This is the strategic core of entity-based SEO and AI visibility.